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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
17/10/2022 |
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Data da última atualização: |
17/10/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
OLIVEIRA, C. M. M. de; REZENDE, A. V.; SANO, E. E.; MATRICARDI, E. A. T.; DELGADO, R. C. |
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Afiliação: |
CARLOS MAGNO MOREIRA DE OLIVEIRA; ALBA VALÉRIA REZENDE; EDSON EYJI SANO, CPAC; ERALDO APARECIDO TRONDOLI MATRICARDI; RAFAEL COLL DELGADO. |
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Título: |
Spatiotemporal assessment of land surface temperature and vegetation in tropical urban areas. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Urban Ecosystems, 2022. |
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Páginas: |
21 p. |
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DOI: |
https://doi.org/10.1007/s11252-022-01276-x |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract Land use intensifcation and expansion in urban areas increases land surface temperature (LST). Several studies have developed to evaluate the LST and its drivers in the world, but few of them have addressed the annual and seasonal efects in urban areas located in tropical regions. This study assesses the spatiotemporal relationship between LST, green vegetation cover, and built-up areas in Brasília, Federal District, Brazil. We used time series of Landsat images (2000?2019) to retrieve the LST and compare it with the normalized diference vegetation index (NDVI), normalized diference built-up index (NDBI), and surface urban heat island (SUHI). Based on our results, the NDVI values increased from 0.46 to 0.58 between 2000 and 2019. A similar increasing trend was observed for LST (24.9 °C in 2000; 32.4 °C in 2019), which indicates that the magnitude of increase of urban vegetation cover was not able to reduce LST. The highest average LST and SUHI values were observed during local spring season (September to December; 41.9 °C and−3.2 °C, respectively). During the autumn (March to June) and winter (June to September) seasons, we observed a progressive increasing trend of the LST values. The NDVI explained 80% of the surface temperature variation within areas of native vegetation and 53% in urban areas. Based on our assessment of the spatiotemporal changes of the LST as a function of normalized diference vegetation and urban spectral indices, we provided crucial information to support urban green cover planning and management that, ultimately, will improve the population's well-being. MenosAbstract Land use intensifcation and expansion in urban areas increases land surface temperature (LST). Several studies have developed to evaluate the LST and its drivers in the world, but few of them have addressed the annual and seasonal efects in urban areas located in tropical regions. This study assesses the spatiotemporal relationship between LST, green vegetation cover, and built-up areas in Brasília, Federal District, Brazil. We used time series of Landsat images (2000?2019) to retrieve the LST and compare it with the normalized diference vegetation index (NDVI), normalized diference built-up index (NDBI), and surface urban heat island (SUHI). Based on our results, the NDVI values increased from 0.46 to 0.58 between 2000 and 2019. A similar increasing trend was observed for LST (24.9 °C in 2000; 32.4 °C in 2019), which indicates that the magnitude of increase of urban vegetation cover was not able to reduce LST. The highest average LST and SUHI values were observed during local spring season (September to December; 41.9 °C and−3.2 °C, respectively). During the autumn (March to June) and winter (June to September) seasons, we observed a progressive increasing trend of the LST values. The NDVI explained 80% of the surface temperature variation within areas of native vegetation and 53% in urban areas. Based on our assessment of the spatiotemporal changes of the LST as a function of normalized diference vegetation and urban spectral indices, we provided crucial inf... Mostrar Tudo |
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Palavras-Chave: |
Desconforto térmico; Espaço verde; Ilha de calor na superfície urbana. |
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Thesagro: |
Floresta Urbana. |
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Categoria do assunto: |
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Marc: |
LEADER 02360naa a2200241 a 4500
001 2147389
005 2022-10-17
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11252-022-01276-x$2DOI
100 1 $aOLIVEIRA, C. M. M. de
245 $aSpatiotemporal assessment of land surface temperature and vegetation in tropical urban areas.$h[electronic resource]
260 $c2022
300 $a21 p.
520 $aAbstract Land use intensifcation and expansion in urban areas increases land surface temperature (LST). Several studies have developed to evaluate the LST and its drivers in the world, but few of them have addressed the annual and seasonal efects in urban areas located in tropical regions. This study assesses the spatiotemporal relationship between LST, green vegetation cover, and built-up areas in Brasília, Federal District, Brazil. We used time series of Landsat images (2000?2019) to retrieve the LST and compare it with the normalized diference vegetation index (NDVI), normalized diference built-up index (NDBI), and surface urban heat island (SUHI). Based on our results, the NDVI values increased from 0.46 to 0.58 between 2000 and 2019. A similar increasing trend was observed for LST (24.9 °C in 2000; 32.4 °C in 2019), which indicates that the magnitude of increase of urban vegetation cover was not able to reduce LST. The highest average LST and SUHI values were observed during local spring season (September to December; 41.9 °C and−3.2 °C, respectively). During the autumn (March to June) and winter (June to September) seasons, we observed a progressive increasing trend of the LST values. The NDVI explained 80% of the surface temperature variation within areas of native vegetation and 53% in urban areas. Based on our assessment of the spatiotemporal changes of the LST as a function of normalized diference vegetation and urban spectral indices, we provided crucial information to support urban green cover planning and management that, ultimately, will improve the population's well-being.
650 $aFloresta Urbana
653 $aDesconforto térmico
653 $aEspaço verde
653 $aIlha de calor na superfície urbana
700 1 $aREZENDE, A. V.
700 1 $aSANO, E. E.
700 1 $aMATRICARDI, E. A. T.
700 1 $aDELGADO, R. C.
773 $tUrban Ecosystems, 2022.
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Embrapa Cerrados (CPAC) |
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| Registros recuperados : 12 | |
| 3. |  | SANO, E. E.; MATRICARDI, E. A. T.; CAMARGO, F. F. Estado da Arte do Sensoriamento Remoto de Radar: Fundamentos, Sensores, Processamento de Imagens e Aplicações. State-of-the-art of Radar Remote Sensing: Fundamentals, Sensors, Image Processing, and Applications. Revista Brasileira de Cartografia, v. 72, n. 50th Anniversary Special Issue, 2020. p. 1484-1508| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Cerrados. |
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| 5. | | MIGUEL, E. P.; REZENDE, A. V.; LEAL, F. A.; MATRICARDI, E. A. T.; VALE, A. T. do; PEREIRA, R. S. Redes neurais artificiais para a modelagem do volume de madeira e biomassa do cerradão com dados de satélites. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 50, n. 9, p. 829-839, set. 2015. Título em inglês: Artificial neural networks for modeling wood volume and aboveground biomass of tall Cerrado using satellite data.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 6. | | CAMELO, A. P.; SANCHES, K.; MATRICARDI, E. A. T.; SANO, E. E.; SOUZA, A. N. de; MIGUEL, E. P. Effects of landscape fragmentation on soil loss in the Cerrado Biome, Brazil. Environmental Management and Sustainable Development, v. 13, n. 1, 2024.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 4 |
| Biblioteca(s): Embrapa Cerrados. |
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| 9. | | BRICEÑO CASTILLO, G. V.; FREITAS, L. J. M. de; CORDEIRO, V. A.; ORELLANA, J. B. P.; REATEGUI-BETANCOURT, J. L.; NAGY, L.; MATRICARDI, E. A. T. Assessment of selective logging impacts using UAV, Landsat, and Sentinel data in the Brazilian Amazon rainforest. Journal of Applied Remote Sensing, v. 16, n. 1, 014526, Mar. 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 12. | | SILVA JUNIOR, C. H. L.; CARVALHO, N. S.; PESSÔA, A. C. M.; REIS, J. B. C.; PONTES-LOPES, A.; DOBLAS, J.; HEINRICH, V.; CAMPANHARO, W.; ALENCAR, A.; SILVA, C.; LAPOLA, D. M.; ARMENTERAS, D.; MATRICARDI, E. A. T.; BERENGUER, E.; CASSOL, H.; NUMATA, I.; HOUSE, J.; FERREIRA, J. N.; BARLOW, J.; GATTI, L.; BRANDO, P.; FEARNSIDE, P. M.; SAATCHI, S.; SILVA, S.; SITCH, S.; AGUIAR, A. P.; SILVA, C. A.; VANCUTSEM, C.; ACHARD, F.; BEUCHLE, R.; SHIMABUKURO, Y. E.; ANDERSON, L. O.; ARAGÃO, L. E. O. C. Amazonian forest degradation must be incorporated into the COP26 agenda. Nature Geoscience, v. 14, p. 634-635, Sep. 2021.| Tipo: Nota Técnica/Nota Científica |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 12 | |
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